University of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101An Analysis of the Stock Price Impact on the TSE and Accrual Managementتجزیه و تحلیل اثرات قیمت سهام در بورس اوراق بهادار تهران و مدیریت اقلام تعهدی1217335810.22059/ijms.2019.264809.673295ENAhmadKhodamipourFaculty of Management and Economics, Department of Accounting , Shahid Bahonar University of Kerman, Kerman, Iran0000-0002-1620-0096EsmaeilAmiriFaculty of Economics and Administrative Sciences, Department of Accounting, University of Mazandaran, Babolsar, IranJournal Article20190302This study examined the role of positive and negative discretionary accrual management in the stock price impact. A sample of 66 firms listed in Tehran Stock Exchange was selected for a ten-year period (2008-2017). Accrual management was found to lead to significant changes in stock prices, and uninformed investors incur trading costs caused by the stock price impact. The results showed two key points. First, the mispricing of discretionary accrual components in the market leads to an increase in the stock price impact, and second, the management of positive discretionary accruals has a greater effect on stock price impacts than negative discretionary accruals. Using positive discretionary accruals, investors overvalue the firm and engage in trading stocks. Due to the mispricing of positive discretionary accruals, an asymmetric behavior is formed in the stock price impact.https://ijms.ut.ac.ir/article_73358_0e83962b1f93b7e833014d201d4112fc.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101Modeling and Analyzing Incremental Quantity Discounts in Transportation Costs for a Joint Economic Lot Sizing Problemمدل سازی و تحلیل تخفیف تدریجی در هزینه های حمل و نقل برای مسئله توام تعیین اندازه انباشه اقتصادی23497334810.22059/ijms.2019.253476.673494ENHassanRasayDepartment of Industrial Engineering, Kermanshah University of Technology, Kermanshah, IranAmir MohammadGolmohammadiDepartment of Industrial Engineering, Yazd University, Yazd, IranJournal Article20190203Joint economic lot sizing (JELS) addresses integrated inventory models in a supply chain. Most of the studies in this field either do not consider the role of the transportation cost in their analysis or consider transportation cost as a fixed part of the ordering costs. In this article, a model is developed to analyze an incremental quantity discount in transportation cost. Appropriate equations are derived to compute the costs related to the inventory systems in the buyer and vendor sites. Then, a procedure including five steps is proposed to optimize the model and determine the values of the decision variables. To analyze the performance of the incremental discount, the JELS problem is studied in two other states of transportation costs. These states include fixed transportation cost and all-unit quantity discount. Moreover, some numerical analyses are carried out to show the impact of transportation costs and inventory-related parameters on the system performance. According to the results of the sensitivity analyses, it is observed that all-unit quantity discount leads to a better performance of the system in comparison with the incremental quantity discount.https://ijms.ut.ac.ir/article_73348_a3d1783d91899984aa13a84fc15e02bc.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101The Impact of China’s Investment on Malaysiaتاثیر سرمایه گذاری چین در مالزی51687304010.22059/ijms.2019.281304.673635ENNoor AzryaniAuzairyFaculty of Economics & Management, University Kebangsaan Malaysia, Bangi Selangor, MalaysiaKevinKek Wai HinFaculty of Economics & Management, University Kebangsaan Malaysia, Bangi Selangor, MalaysiaHui XianPangFaculty of Economics & Management, University Kebangsaan Malaysia, Bangi Selangor, MalaysiaLee TengYongFaculty of Economics & Management, University Kebangsaan Malaysia, Bangi Selangor, MalaysiaJournal Article20190514China has been moving out from its country into other countries in the world, including Malaysia, with some positive and negative news. We are to examine the impact of China’s investment on our employment, price level and productivity as well as sectoral stock market performances: consumer products and services; construction and industrial sectors. The causality analyses on quarterly data from 2008 to 2018 show some significant positive and negative impact of China’s investment on Malaysia. China’s investment contributes to the growth of consumer product and service sector stock market and lower production price level. On the other hand, construction and industrial sectoral indices exhibit negative performances. There is no significant impact on productivity and employability. Despite of having relatively small contribution impact from China, the long-run cointegration exhibits that the variables are moving together over time. Thus, monitoring the inflows of the FDI is crucial.https://ijms.ut.ac.ir/article_73040_93986a2ac27713a3a367f94957079920.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101Comparing Prediction Power of Artificial Neural Networks Compound Models in Predicting Credit Default Swap Prices through Black–Scholes–Merton Modelمقایسه قدرت پیشبینی کنندگی مدلهای ترکیبی شبکه های عصبی مصنوعی، در پیش بینی قیمت قراردادهای سواپ نکول اعتباری با مدل مرتون69937295110.22059/ijms.2019.276260.673534ENAsgharBeytollahiDepartment of Accounting, Islamic Azad University of Kerman Branch, IranHadisZeinaliDepartment of Accounting, Islamic Azad University of Kerman Branch, IranJournal Article20190224Default risk is one of the most important types of risks, and credit default swap (CDS) is one of the most effective financial instruments to cover such risks. The lack of these instruments may reduce investment attraction, particularly for international investors, and impose potential losses on the economy of the countries lacking such financial instruments, among them, Iran. After the 2007 financial crisis, the importance of CDS has increasingly augmented because theoretically and practically, this instrument could significantly prevent catastrophes such as the mentioned crisis. The present study seeks to predict the price of CDS contracts with the Merton model as well as the compound neural network models including ANFIS, NNARX, AdaBoost, and SVM regression<em>,</em> and compare the predictive power of these algorithms which are among the most prestigious, intelligent models in finance. The research statistical population includes the A-rated North American and European companies which are known as the reference entities for credit default swaps. Data were collected from the Bloomberg Terminal for an eight-year period from 2008 to 2015. Contracts of 125 companies were selected as the statistical sample. The results reveal that the average predictive power of the NNARX is higher than that of other algorithms under scrutiny.https://ijms.ut.ac.ir/article_72951_22eec4570509f4c85fd5380fe78aeddc.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101Psychological Capital: The Role of Attachment (Case Study: Tehran Children’s Hospital)سرمایهی روانشناختی شغلی: نقش دلبستگی (مورد مطالعه: بیمارستان کودکان تهران)951157334210.22059/ijms.2019.111414.671561ENKamyarRaissifarFaculty of Management, University of Tehran, Tehran, Iran0000-0003-3223-3434Mohammad RezaAkhavan AnvariFaculty of Management, University of Tehran, Tehran, Iran0000-0003-0686-4603Journal Article20181222One of the most important issues in the field of organizational behavior studies is the identification of positive psychological resources and capacities, which considerably affect individuals’ job performance. Therefore, the present research aims to study and identify the effects of attachment on psychological capital. With regard to the purpose, this research is applied and in regard to data collection method, it is descriptive/analytic and of correlational type. The analysis is carried out based on Structural Equation Modeling (SEM). The study was done at Tehran Children’s Hospital, in which a sample of 176 personnel filled out the questionnaire. In this research, the validity of attachment and psychological capital measurement models was evaluated by Confirmatory Factor Analysis. Also, the results of the structural model suggested the significant effect of attachment on the dimensions of psychological capital. It is noteworthy that between the two dimensions of attachment, i.e. avoidance and anxiety, avoidance is more explanatory. Finally, it is notable that attachment theory is one of the most important theories in OB/HR; this has critical consequences for variables like psychological capital.https://ijms.ut.ac.ir/article_73342_7196af0fbe6151b825061d70a668fdde.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101Behavioral Factors Affecting Talent Management: Meta-Synthesis Techniqueعوامل رفتاری موثر بر مدیریت استعداد : تکنیک فرا ترکیب1171377349410.22059/ijms.2019.283845.673684ENTaherehShahiDepartment of Public Management, Chalous Branch, Islamic Azad University, Chalous, Iran0000000293818252BehzadFarrokhshereshtDepartment of Public Management, Chalous Branch, Islamic Azad University, Chalous, IranMohammad JavadTaghipourianDepartment of Public Management, Chalous Branch, Islamic Azad University, Chalous, IranHassan AliAghajaniDepartment of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, IranJournal Article20190723Talent management has been on the agenda of many organizations in recent years because of the belief in the importance of talent in achieving organizational excellence. The purpose of this study is to infer the conceptual model of behavioral factors affecting talent management. Therefore, applying the Meta-Synthesizing technique, researchers studied the findings of the articles which exist in valid databases in a systematic manner using Sandolowski and Barso's seven-step method. Then, after multiple screenings, they selected 36 appropriate articles for deeper study. To this end, behavioral factors affecting talent management were extracted and conceptual model analyses and inferences were obtained with the help of coding tools and MAXQDA v. 10 software. It is expected that the results and design of this model by improving the understanding the effective behavioral concepts on potential Human resource drive talent management to the desired status and become an appropriate tool for achieving organizational goals.https://ijms.ut.ac.ir/article_73494_6331f1edbda8b60da9e70c9a1dcae439.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079513120200101Impact of Human Resource Investment on Labor Productivity in Indonesiaتاثیر سرمایه گذاری در نیروی انسانی بر بهره وری نیروی کار در اندونزی1391647303910.22059/ijms.2019.280284.673616ENRozianaBaharinFaculty of Economics & Management, Universiti Kebangsaan Malaysia, Bangi, MalaysiaRizqon HalalSyah AjiFaculty of Economics and Business, Syarif Hidayatullah State Islamic University, Jakarta, IndonesiaIshakYussofFaculty of Economics & Management, Universiti Kebangsaan Malaysia, Bangi, MalaysiaNasirMohd SaukaniFaculty of Economics & Management, Universiti Kebangsaan Malaysia, Bangi, MalaysiaJournal Article20190430This study examines the impact of human capital on productivity of labor in Indonesia, using the ARDL analysis data method. This study uses the variable of human capital with a proxy level of labor education, the health status of labor and labor productivity. The data used are sourced from World Bank publications in the period of 1981-2014. The outputs of the analysis with the method of ARDL show that the short-run analyses of primary, secondary, tertiary education variables and health variables have a significant positive impact on labor productivity. In contrast, the long-run analysis including only primary and secondary educations showed a significant positive influence on labor productivity while tertiary education variables have a significant negative effect. The labors’ health variable has a positive but not significant effect. This shows that the quality of human capital in Indonesia is still a problem for labor productivity.https://ijms.ut.ac.ir/article_73039_2796226f9e2ccd559c86f65c10bf8ca5.pdf